Freda D. Miller

24.6k citations
186 papers · 19.5k indexed · 5 hit papers · h-index 78

Impact in

Papers in

Freda D. Miller

183 papers receiving 19.2k citations

Hit Papers

Isolation and Characterization of Multipotent Skin‐Derived Precursors from Human Skin 2005 · 530 citations
530199720262006201650010001.5k

Peers

Freda D. Miller
Comparison fields: 5 of 139
  • Developmental Neuroscience 5.1k
  • Cellular and Molecular Neuroscience 7.9k
  • Genetics 2.0k
  • Molecular Biology 10.3k
  • Neurology 1.2k
Replace David R. Kaplan with:
David R. Kaplan Canada
Mahendra S. Rao United States
Heidi Phillips United States
Louis F. Reichardt United States
Rhona Mirsky United Kingdom
Grigori Enikolopov United States
John A. Kessler United States
Ronald D.G. McKay United States
Stanley J. Wiegand United States
William D. Snider United States
Freda D. Miller relative to David R. Kaplan Canada David R. Kaplan's profile →
Citations per field
00.5×1.5×
David R. Kaplan · 1×
Citations per year

Countries citing papers authored by Freda D. Miller

Since Specialization
Citations

This map shows the geographic impact of Freda D. Miller's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Freda D. Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Freda D. Miller more than expected).

Fields of papers citing papers by Freda D. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Freda D. Miller. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Freda D. Miller. The network helps show where Freda D. Miller may publish in the future.

Co-authors

The 25 scholars most cited alongside Freda D. Miller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Freda D. Miller Line = papers co-authored together Freda D. Miller links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20253
2 202033
3 201419
4 201472
5 201341
6 2013116
7 201327
8 201289
9 201023
10 200936
11 2009192
12 200880
13 2007132
14 2007438
15 2007125
16 200662
17 200568
18 200456
19 2001248
20 199616

About Freda D. Miller

Freda D. Miller is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Developmental Biology, Molecular Biology and Cell Biology, having authored 186 papers that have together received 19.5k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (64 papers), Nerve injury and regeneration (54 papers), Cancer-related Molecular Pathways (22 papers), Axon Guidance and Neuronal Signaling (22 papers), Pluripotent Stem Cells Research (20 papers), Signaling Pathways in Disease (16 papers), Cell death mechanisms and regulation (14 papers) and Neuroscience and Neuropharmacology Research (11 papers). The work is most often cited by research in Developmental Neuroscience (5.1k citations), Cellular and Molecular Neuroscience (7.9k citations), Genetics (2.0k citations), Molecular Biology (10.3k citations) and Neurology (1.2k citations). Freda D. Miller has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include David R. Kaplan, Jean G. Toma, Fanie Barnabé‐Heider, Andrée Gauthier-Fisher, Karl J. L. Fernandes, Raquel Aloyz, Christine D. Pozniak, Abbas F. Sadikot, Ian A. McKenzie and Shernaz X. Bamji. Their work appears in journals such as Journal of Neuroscience, Neuron, Cell stem cell, The Journal of Cell Biology and Developmental Biology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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